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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Are GANs Created Equal? A Large-Scale Study · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1711.10337/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1711.10337/feed.xml" rel="self" type="application/rss+xml" /><item><title>Are GANs Created Equal? A Large-Scale Study — HN submission</title><link>https://news.ycombinator.com/item?id=20505754</link><guid isPermaLink="false">urn:hackerpapers:submission:1711.10337:20505754</guid><pubDate>Tue, 23 Jul 2019 10:50:29 GMT</pubDate><description>&lt;p&gt;Are GANs Created Equal? A Large-Scale Study (2017)&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1711.10337/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item><item><title>Are GANs Created Equal? A Large-Scale Study — mentioned by tasdfqwer0897</title><link>https://news.ycombinator.com/item?id=19621411</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.10337:19621411</guid><pubDate>Wed, 10 Apr 2019 02:58:06 GMT</pubDate><description>&lt;p&gt;Hmm, I&amp;#x27;m not sure what you mean by applicable loss functions? I&amp;#x27;ll answer what I think you&amp;#x27;re asking and you can tell me if I got it wrong: There&amp;#x27;s been a lot of effort spent on coming up with different loss functions for GANs, but https://arxiv.org/abs/1711.10337 shows that, according to the metrics in problem 5, they don&amp;#x27;t really improve results compared to the original GAN loss function. There&amp;#x27;s something called a Wasserstein GAN https://arxiv.org/abs/1701.07875 that you may have heard about, but IMO the useful thing to take away from that paper is their &amp;#x27;gradient penalty&amp;#x27; technique and…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.10337/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item><item><title>Are GANs Created Equal? A Large-Scale Study — HN submission</title><link>https://news.ycombinator.com/item?id=15805248</link><guid isPermaLink="false">urn:hackerpapers:submission:1711.10337:15805248</guid><pubDate>Wed, 29 Nov 2017 07:26:47 GMT</pubDate><description>&lt;p&gt;Are GANs Created Equal? A Large-Scale Study&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1711.10337/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
